83 lines
3.5 KiB
Markdown
83 lines
3.5 KiB
Markdown
# Deploy Langflow on Google Cloud Platform
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**Duration**: 45 minutes
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**Author**: [Robert Wilkins III](https://www.linkedin.com/in/robertwilkinsiii)
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## Introduction
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In this tutorial, you will learn how to deploy Langflow on [Google Cloud Platform](https://cloud.google.com/) (GCP) using Google Cloud Shell.
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This tutorial assumes you have a GCP account and basic knowledge of Google Cloud Shell. If you're not familiar with Cloud Shell, you can review the [Cloud Shell documentation](https://cloud.google.com/shell/docs).
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## Set up your environment
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Before you start, make sure you have the following prerequisites:
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- A GCP account with the necessary permissions to create resources
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- A project on GCP where you want to deploy Langflow
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[**Select your GCP project**]<walkthrough-project-setup
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billing="true"
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apis="compute.googleapis.com,container.googleapis.com">
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</walkthrough-project-setup>
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In the next step, you'll configure the GCP environment and deploy Langflow.
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## Configure the GCP environment and deploy Langflow
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Run the deploy_langflow_gcp_spot.sh script to configure the GCP environment and deploy Langflow:
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```sh
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gcloud config set project <walkthrough-project-id/>
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bash ./deploy_langflow_gcp_spot.sh
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```
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The script will:
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1. Check if the required resources (VPC, subnet, firewall rules, and Cloud Router) exist and create them if needed
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2. Create a startup script to install Python, Langflow, and Nginx
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3. Create a Compute Engine VM instance with the specified configuration and startup script
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4. Configure Nginx to serve Langflow on TCP port 8080
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> <walkthrough-pin-section-icon></walkthrough-pin-section-icon> The process may take approximately 30 minutes to complete. Rest assured that progress is being made, and you'll be able to proceed once the process is finished.
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In the next step, you'll learn how to connect to the Langflow VM.
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## Connect to the Langflow VM
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To connect to your new Langflow VM, follow these steps:
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1. Navigate to the [VM instances](https://console.cloud.google.com/compute/instances) page and click on the external IP for your VM. Make sure to use HTTP and set the port to 8080
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<br>**or**
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3. Run the following command to display the URL for your Langflow environment:
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```bash
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export LANGFLOW_IP=$(gcloud compute instances list --filter="NAME=langflow-dev" --format="value(EXTERNAL_IP)")
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echo http://$LANGFLOW_IP:8080
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```
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4. Click on the Langflow URL in cloudshell to be greeted by the Langflow Dev environment
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Congratulations! You have successfully deployed Langflow on Google Cloud Platform.
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<walkthrough-conclusion-trophy></walkthrough-conclusion-trophy>
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## Cleanup
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If you want to remove the resources created during this tutorial, you can use the following commands:
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```sql
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gcloud compute instances delete langflow-dev --zone us-central1-a --quiet
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```
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The following network settings and services are used during this walkthrough. If you plan to continue using the project after the walkthrough, you may keep these configurations in place.
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However, if you decide to remove them after completing the walkthrough, you can use the following gcloud commands:
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> <walkthrough-pin-section-icon></walkthrough-pin-section-icon> These commands will delete the firewall rules and network configurations created during the walkthrough. Make sure to run them only if you no longer need these settings.
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```
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gcloud compute firewall-rules delete allow-tcp-8080 --quiet
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gcloud compute firewall-rules delete allow-iap --quiet
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gcloud compute networks subnets delete default --region us-central1 --quiet
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gcloud compute networks delete default --quiet
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```
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